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E-Commerce Order Automation Fleet

Automate order processing, inventory monitoring, and customer support for Shopify + NetSuite stores.

2 agents1 integration12h saved/week$35/mo6h setupSimple

AI Readiness Score

72/100
RUN
data maturity65

Solid data foundation

team capacity55

Moderate

budget alignment65

Good budget fit

automation readiness85

Strong automation potential

timeline feasibility70

Realistic

integration complexity80

MCP-ready tools

How This System Works

Architecture

This ecommerce automation system implements a two-agent architecture designed to maintain data consistency between Shopify and NetSuite. The Order Reconciler serves as the primary data synchronization agent, running nightly to ensure order information remains consistent across platforms. The Inventory Watchdog provides continuous monitoring of stock levels, alerting stakeholders to potential inventory issues before they impact sales. Both agents operate on scheduled intervals using cron expressions, with the Order Reconciler handling the heavy lifting of data reconciliation during low-traffic hours, while the Inventory Watchdog maintains vigilant oversight throughout business hours. The system utilizes MCP (Model Context Protocol) for secure, reliable data transfer between Shopify and NetSuite, ensuring proper authentication and error handling.

Data Flow

Data flows begin with the Order Reconciler extracting order information from Shopify's REST API, including order details, customer information, and payment status. This data is then transformed into NetSuite's expected format and synchronized using NetSuite's SuiteTalk API. The reconciliation process identifies discrepancies between systems and generates reports for manual review when automated resolution isn't possible. The Inventory Watchdog operates on a separate data flow, querying NetSuite for current stock levels across all SKUs every four hours. When inventory falls below predefined thresholds, the system generates structured alerts sent to designated Slack channels, enabling rapid response from inventory management teams. Both agents maintain detailed logs of their operations, creating an audit trail for compliance and troubleshooting purposes.

Implementation Phases

1
Core Infrastructure Setup1-2 weeks

Establish authentication, logging, and basic connectivity to Shopify and NetSuite APIs

Order Reconciler
2
Order Reconciliation Implementation2-3 weeks

Build and test the complete order synchronization workflow with error handling

Order Reconciler
3
Inventory Monitoring Deployment1-2 weeks

Implement stock level monitoring and Slack alerting system

Inventory Watchdog
4
Production Optimization1 week

Performance tuning, comprehensive testing, and monitoring setup

Order ReconcilerInventory Watchdog

Prerequisites

  • -Shopify API access with Orders read permissions
  • -NetSuite SuiteTalk API access with integration role
  • -Slack workspace with bot token and channel access
  • -Server environment with Python 3.9+ and cron capability
  • -Database for storing reconciliation logs and inventory snapshots

Assumptions

  • -Shopify and NetSuite APIs remain stable and accessible
  • -Order volume doesn't exceed API rate limits during sync windows
  • -Network connectivity is reliable during scheduled operations
  • -Inventory thresholds are pre-configured in system settings
  • -Manual intervention processes exist for critical reconciliation failures

Recommended Agents (2)

How It Works

  1. 1
    Fetch Recent Orders

    Connect to Shopify REST API and retrieve all orders created or modified since last sync timestamp, including order status, line items, customer details, and payment information

    Shopify REST Admin API
  2. 2
    Transform Data Format

    Convert Shopify order JSON structure to NetSuite SuiteTalk format, mapping customer fields, product SKUs, tax calculations, and shipping information according to predefined business rules

    Custom transformation engine
  3. 3
    Query NetSuite Records

    Search NetSuite for existing sales orders using Shopify order numbers as external IDs to identify records requiring updates versus new insertions

    NetSuite SuiteTalk API
  4. 4
    Sync Order Data

    Create new sales orders in NetSuite or update existing records, handling customer creation if necessary and maintaining referential integrity across all related records

    NetSuite SuiteTalk API
  5. 5
    Generate Reconciliation Report

    Compare synchronized records against source data, identify discrepancies, log all operations, and create summary reports for stakeholder review

    Internal logging system

Implementation

# Order Reconciler Implementation

## Directory Structure
```
order_reconciler/
├── src/
│   ├── reconciler.py
│   ├── shopify_client.py
│   ├── netsuite_client.py
│   └── data_transformer.py
├── config/
│   └── settings.json
├── logs/
└── requirements.txt
```

## Key Files

### src/reconciler.py
```python
class OrderReconciler:
    def __init__(self):
        self.shopify = ShopifyClient()
        self.netsuite = NetSuiteClient()
        self.transformer = DataTransformer()
        
    def run_sync(self):
        last_sync = self.get_last_sync_timestamp()
        orders = self.shopify.get_orders_since(last_sync)
        
        for order in orders:
            try:
                ns_format = self.transformer.shopify_to_netsuite(order)
                existing = self.netsuite.find_order(order['name'])
                
                if existing:
                    self.netsuite.update_order(existing['id'], ns_format)
                else:
                    self.netsuite.create_order(ns_format)
                    
                self.log_success(order['name'])
            except Exception as e:
                self.log_error(order['name'], str(e))
```

### Environment Variables Needed
- SHOPIFY_API_KEY
- SHOPIFY_API_SECRET
- SHOPIFY_ACCESS_TOKEN
- NETSUITE_ACCOUNT_ID
- NETSUITE_CONSUMER_KEY
- NETSUITE_CONSUMER_SECRET
- NETSUITE_TOKEN_ID
- NETSUITE_TOKEN_SECRET
- DATABASE_URL

### Cron Setup
```bash
# Add to crontab for daily 2am execution
0 2 * * * /usr/bin/python3 /path/to/order_reconciler/src/reconciler.py
```

Data Flow

Inputs
  • Shopify REST APIOrder data including customer info, line items, payments, shipping details(JSON)
  • NetSuite SuiteTalk APIExisting sales order records for comparison and updates(XML/SOAP)
Outputs
  • NetSuite SuiteTalk APICreated or updated sales order records with synchronized data(XML/SOAP)
  • Local databaseReconciliation logs, sync timestamps, error reports(SQL records)

Prerequisites

  • -Shopify store with API access enabled
  • -NetSuite integration role with sales order permissions
  • -Database for tracking sync state and logging
  • -Python environment with required API libraries

Error Handling

warning
API rate limit exceeded

Implement exponential backoff and resume from last successful sync point

critical
NetSuite authentication failure

Alert administrators immediately and skip current sync cycle

warning
Data transformation error

Log problematic order details and continue processing remaining orders

critical
Network connectivity loss

Retry with exponential backoff up to 3 attempts, then abort

Integrations

SourceTargetData FlowMethodComplexity
ShopifyNetSuiteOrder data syncmcpmoderate

Schedule

0 2 * * *
Order ReconcilerDaily at 2am

Recommended Models

TaskRecommendedAlternativesEst. CostWhy
Agent logic / orchestrationClaude Sonnet 4
GPT-4oGemini 2.5 Pro
$0.003-0.015/callComplex order reconciliation logic requires structured reasoning to match data across Shopify and NetSuite systems accurately.
Data extraction / parsingClaude Haiku
GPT-4o-miniGemini 2.0 Flash
$0.0002-0.001/callFast extraction of order data from Shopify and inventory data from NetSuite APIs with consistent structured output.
Content generationClaude Haiku
GPT-4o-miniGemini 2.0 Flash
$0.0002-0.001/callSimple alert messages and reconciliation reports for Slack notifications require minimal complexity.
Classification / routingGemini 2.0 Flash
Claude HaikuGPT-4o-mini
$0.0001-0.001/callHigh-volume inventory monitoring needs fast, cheap classification of stock level alerts and discrepancy types.

ROI Projection

$35
Monthly Cost
$2500
Monthly Savings
12h
Hours Saved/Week
8500%
1-Year ROI
Order Reconciliation
$2000$25-$1975

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